This paper is a sequel of previous work, in which we have studied the traffic management problem in UMTS. The main objective was to improve the spectral efficiency of cellular netw...
Larissa Popova, Wolfgang H. Gerstacker, Wolfgang K...
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Animal ecologists have successfully applied agent-based models to many different problems. Often, these focus on issues concerning collective behaviors, environmental interactions...
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...